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Uses of content analysis in economic sciences: An overview of the current situation and prospects

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  • A. N. Oleinik

Abstract

The article discusses the status of quantitative and qualitative data in economic sciences, as well as methods for transforming data into information and knowledge. Particular attention is devoted to content analysis as a set of methods for aggregating, processing and analyzing qualitative data; its forms (qualitative, quantitative and mixed methods) and uses by economists. Content analysis appears to be particularly suitable for non-orthodox economists because of their refusal to consider price as the only source of economic information. The content analysis of metadata of articles indexed in Web of Science and eLibrary suggests that Russian economists still have insufficient familiarity with the principles of content analysis and their applications to research compared with their Western counterparts. It is argued that the creation of on-line platforms for content analysis and on-line banks of qualitative data may become a trigger for changing this situation.

Suggested Citation

  • A. N. Oleinik, 2021. "Uses of content analysis in economic sciences: An overview of the current situation and prospects," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
  • Handle: RePEc:nos:voprec:y:2021:id:3098
    DOI: 10.32609/0042-8736-2021-4-79-95
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    Cited by:

    1. Pavel A. Mikhnenko, 2023. "Multimodal business analytics: The concept and its application prospects in economic science and practice," Upravlenets, Ural State University of Economics, vol. 14(6), pages 2-18, December.

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